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AI IN HEALTH

CONFERENCE

SEPTEMBER 9-12, 2024 | HOUSTON, TX

CONFERENCE: SEPTEMBER 10-11

ADD-ON WORKSHOPS: SEPTEMBER 9 & 12

 

ABOUT
CURRENT SPONSORS
AN OUTLOOK FOR THE NEXT DECADE IN
AI, MACHINE LEARNING, & HEALTH

Bridging the gap between artificial intelligence and real-world health outcomes, the AI in Health Conference isn’t just about what AI can do—it’s about what AI should do for patient care.

 

The AI in Health Conference is your opportunity to connect with and learn from researchers, engineers, clinicians, and entrepreneurs at the forefront of artificial intelligence in healthcare and public health. Brought to you by the Ken Kennedy Institute at Rice University, this program will address the current state of artificial intelligence in health and showcase a research-based outlook on the next 10 years. 

 

The AI in Health Conference will take place in Houston, home of the largest medical center in the world - the Texas Medical Center - which hosts 60+ member institutions that are visited by 10 million patients each year. The intersection of healthcare and artificial intelligence holds potential, unlike any other innovation the medical industry has seen before. Artificial intelligence’s ability to operate and automate tasks at heightened speed, efficiency, and accuracy has already made an impact on day-to-day hospital care and administrative functions.

 

Sign up for our newsletter to get updates on the 2024 conference, featuring invited speakers, a technical talk program, an exhibit hall, networking receptions, poster presentations, and add-on workshops.

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AIHC24 DETAILS

Conference + Workshop Dates: September 9-12, 2024

Venue: BioScience Research Collaborative (BRC) at Rice University | 6500 Main Street, Houston, TX 77030

Early-Bird Registration: Opening Soon

 

To stay informed about details for the 2024 AI in Health Conference, including announcements about registration and opportunities for participation, sign up for our Data Science Community mailing list. 

NETWORKING OPPORTUNITIES

Tuesday's Sponsor Networking Reception will include a specialty wine, cheese, and appetizer selection to complete an evening of connecting with fellow conference attendees and meeting our #AIHC24 sponsors. ​

 

The following day will wrap up the AI in Health Conference with a Poster Presentation Reception to showcase exciting research happening in the healthcare space by graduate students and postdocs. ​

 

Specialty coffee will be provided all day Tuesday-Wednesday in the exhibit hall for attendees. 

INVITED SPEAKERS
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Behnaam Aazhang, PhD

J.S. Abercrombie Professor, Electrical and Computer Engineering; Director, Rice Neuroengineering Initiative

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Gil Alterovitz, PhD
VHA Chief AI Officer, U.S. Department of Veterans Affairs; Director, VA National Artificial Intelligence Institute

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Anton Banta, PhD
Biotechnology and Machine Learning Engineer, Neurosurgery and Neuroprosthetics

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Josiah Hester, PhD
Associate Professor, Interactive Computing and Computer Science; Co-Director, Center for Advancing Responsible Computing (CARE);
Associate Director of Community Engaged Research, Brook Byers Institute for Sustainable Systems, Georgia Institute of Technology

 

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Alexander Huth, PhD
Assistant Professor of Neuroscience and Computer Science, University of Texas at Austin

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Abria Magee, PhD
Senior Program Manager for Product Development Research, Cancer Prevention and Research Institute of Texas

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Chethan Pandarinath, PhD
Assistant Professor, Wallace H. Coulter Department of Biomedical Engineering, Emory University & Georgia Institute of Technology

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Ankit Patel, PhD
Assistant Professor of Neuroscience, Baylor College of Medicine; Assistant Professor of Electrical and Computer Engineering, Rice University

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Andrea Ramirez, MD, MS
Chief Data Officer, All of Us Research Program


 

Additional Speakers Will Be Announced Soon

TECHNICAL PROGRAM

Accepted abstracts for the 2024 AI in Health Conference will be asked to deliver a 15-20 minute presentation, including Q&A, as part of the conference technical program. Technical speakers will highlight algorithms, use-cases, and solutions that support data-driven discovery and decision-making in healthcare and public health for the next decade. The themes for this year's technical program will be determined based on abstract submissions. 

HEALTH
MONITORING
NLP
MENTAL HEALTH
IMAGING
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SLEEP SCIENCE
GENOMICS
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HEALTH EQUITY
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CURRENT 2024 SPONSORS
GOLD
SILVER
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BRONZE
ECOSYSTEM PARTNERS
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